Ontology type: schema:Chapter Open Access: True
2002-03-14
AUTHORSRie Honda , Yuichi Iijima , Osamu Konishi
ABSTRACTIn this study, a crater detection system for a large-scale image database is proposed. The original images are grouped according to spatial frequency patterns and both optimized parameter sets and noise reduction techniques used to identify candidate craters. False candidates are excluded using a self-organizing map (SOM) approach. The results show that despite the fact that a accurate classification is achievable using the proposed technique, future improvements in detection process of the system are needed. More... »
PAGES395-407
Progress in Discovery Science
ISBN
978-3-540-43338-5
978-3-540-45884-5
http://scigraph.springernature.com/pub.10.1007/3-540-45884-0_29
DOIhttp://dx.doi.org/10.1007/3-540-45884-0_29
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1025313127
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